The microgrid (MG) is an effective way to alleviate the impact of the large-scale penetration of distributed generations. Due to the seasonal characteristics of rural areas, the load curve of the rural MG is different from the urban MG. Besides, the economy and stability of MG’s scheduling may be impacted due to the uncertainty of the distributed generations’ output. To adapt the seasonal characteristics of the rural microgrid, a Wasserstein distance-based distributionally robust optimal scheduling model of rural microgrid considering the coordinated interaction among source-grid-load-storage is proposed to minimize the operating costs of the rural microgrid in this paper, and the distributionally robust optimization method based on the Wasserstein distance is utilized to deal with the uncertainty of distributed generations’ output in the proposed model, which can balance the robustness and economy of MG’s scheduling when compared with the robust optimization method and stochastic optimization method. The case study shows that the proposed model can achieve better economical and robust scheduling strategies of source-grid-load-storage than the robust optimization-based model and the stochastic optimization-based model. Besides, the robustness and economy of rural MG’s scheduling strategies are adjusted flexibly by the proposed model.

微电网（MG）是缓解分布式发电大规模渗透影响的有效途径。由于农村地区的季节性特点，农村MG的负荷曲线与城市MG不同。此外，分布式电源出力的不确定性可能会影响MG调度的经济性和稳定性。为适应农村微网的季节性特征，本文提出了一种考虑源-网-荷-储协同交互作用的基于Wasserstein距离分布鲁棒的农村微网优化调度模型，以最小化农村微网的运行成本。提出的模型中利用基于Wasserstein距离的分布鲁棒优化方法来处理分布式发电输出的不确定性，与鲁棒优化方法和随机优化方法相比，可以平衡MG调度的鲁棒性和经济性。案例研究表明，与基于鲁棒优化的模型和基于随机优化的模型相比，所提出的模型可以实现更经济和鲁棒的源-网-荷-储调度策略。此外，该模型还灵活调整了农村MG调度策略的鲁棒性和经济性。案例研究表明，与基于鲁棒优化的模型和基于随机优化的模型相比，所提出的模型可以实现更经济和鲁棒的源-网-荷-储调度策略。此外，该模型还灵活调整了农村MG调度策略的鲁棒性和经济性。案例研究表明，与基于鲁棒优化的模型和基于随机优化的模型相比，所提出的模型可以实现更经济和鲁棒的源-网-荷-储调度策略。此外，该模型还灵活调整了农村MG调度策略的鲁棒性和经济性。